Opinion
Beyond Prediction: Why Financial Services Needs Causal Architecture at the Core of Its AI Models
The results have been impressive by the metrics that matter to technology teams: accuracy rates, processing speeds, cost reduction, throughput. A fraud model that catches 94% of suspicious ...
OpenAI is forming a new company to deploy AI, and the other labs aren’t far behind, reinforcing the thesis that AI’s impact ...
Penetration tests of AI systems expose significantly higher severe-flaw density when compared to legacy apps. New attack ...
AI agents can’t just guess what your data means; they need an "ontology" to act as a shared rulebook so they don't make ...
The Nasdaq has rallied roughly 27% from its March lows, powered almost entirely by semiconductor stocks. Read the full ...
Vector database pioneer Pinecone recognizes this and is pivoting to meet the specific needs of agentic AI. The company today ...
Read more about Agentic AI red teaming could become essential for securing future AI systems: Here's why on Devdiscourse ...
Researchers say agentic AI can translate detection rules across SIEM platforms, but concerns over trust and reliability ...
A new platform won't fix your data problems if your business logic is a mess; you need to clean up your data definitions ...
Rep. Maxine Waters, D-Calif., who serves as ranking member of the House Financial Services Committee. WASHINGTON — Credit risk transfers, a financial instrument banks use to move risk off their ...
LSEG today announced that Open Risk Analytics, an offering within its Post Trade Solutions business, is now available via its ...
As federal banking agencies refresh model risk guidance and the FDIC flags funding, interest-rate and credit pressures, FFERM Technologies founder Dr. Jeffrey L. Edwards says static heat maps cannot ...
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